Quantitative Analysis of Laser-Induced Breakdown Spectroscopy Iron Ore Slurry Based on Cyclic Variable Filtering and Nonlinear Partial Least Squares

Dong Shang; Lanxian Sun; Lifeng Qi; Yuanming Xie; Tong Chen

doi:10.3788/CJL202148.2111001

Chinese Journal of Lasers, Volume. 48, Issue 21, 2111001(2021)

Quantitative Analysis of Laser-Induced Breakdown Spectroscopy Iron Ore Slurry Based on Cyclic Variable Filtering and Nonlinear Partial Least Squares

Dong Shang^1,2,3,4, Lanxian Sun^1,2,3、*, Lifeng Qi^1,2,3, Yuanming Xie^1,2,3,5, and Tong Chen^1,2,3,4

Author Affiliations

¹State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China

²Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China

³Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, Liaoning 110169, China

⁴University of Chinese Academy of Sciences, Beijing 100049, China

⁵Shenyang University of Chemical Technology, Shenyang, Liaoning 110142, China

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Dong Shang, Lanxian Sun, Lifeng Qi, Yuanming Xie, Tong Chen. Quantitative Analysis of Laser-Induced Breakdown Spectroscopy Iron Ore Slurry Based on Cyclic Variable Filtering and Nonlinear Partial Least Squares[J]. Chinese Journal of Lasers, 2021, 48(21): 2111001

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Paper Information

Category: spectroscopy

Received: Mar. 15, 2021

Accepted: Apr. 19, 2021

Published Online: Nov. 2, 2021

The Author Email: Sun Lanxian (sunlanxiang@sia.cn)

DOI:10.3788/CJL202148.2111001

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology